Baselines.
We evaluate against related data augmentation schemes that have shown performance improvements in recent years: mixup [1]}; manifold mixup [2]}; and noisy mixup [3]}. Further, we compare to both vanilla models trained without data augmentation (baseline) and those trained on white noise perturbed inputs.
